| Analysis of the effect of geology, soil properties, and land use on groundwater quality using multivariate statistical and GIS methods |
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| 作者姓名： | Jin-Soo Lee Kyung-Seok Ko Tong-Kwon Kim Jae Gon Kim Seong-Hyun Cho In-Suk Oh |
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| 作者单位： | [1]Korea Institute of Geosciences ＆ Mineral Resources, Geological ＆ Environmental Hazards Division, Daejeon, Korea [2]Kongju National University/Department of Geoenvironmental Sciences, Kongju, Korea |
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| 摘 要： |
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| 关 键 词： | 地下水 GIS 土壤性质 地质 水质 多元统计 |
Analysis of the effect of geology, soil properties, and land use on groundwater quality using multivariate statistical and GIS methods |
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| Jin-Soo Lee Kyung-Seok Ko Tong-Kwon Kim Jae Gon Kim Seong-Hyun Cho In-Suk Oh.Analysis of the effect of geology, soil properties, and land use on groundwater quality using multivariate statistical and GIS methods[J].Chinese Journal of Geochemistry,2006,25(B08):152-152. |
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| Abstract: | The regional survey of groundwater used as a small water supply system was performed to know the effect of geology, soil properties and land use on groundwater quality at Nonsan City, Korea. A total of 126 groundwater samples were collected and analyzed at the study area. The multivariate statistical methods, principal components analysis and discriminant analysis, and GIS technique were used for the quantitative interpretation of groundwater quality. The study area is mainly composed of Precambrian gneiss, Jurassic granite, and Cretaceous volcanics, and metasedimentary rocks of the Ogcheon zone. The land use was grouped as paddy, upland, grassland, resident, point source, industrial area, and water system. The soil properties were classified as 4 major groups, Entisols, Alfisols, Inceptisols, and Ultisols, by the degree of development, and reclassified as 11 subgroups. The modified and simplified geologic map, soil map, and land use map were made by using ARCGIS soft-ware. The area of geology, soil property, and land use affecting the groundwater quality for each well were also calculated by ARCGIS soft-ware to acquire the quantitative parameters for multivariate statistical analysis. The monitoring results of groundwater in the study area showed that 13%-21% of the groundwater samples exceeded the portable water guideline and the main causes were turbidity, bacteria, arsenic and nitrate-N. The spatial distribution of each component showed the close relationship between groundwater quality and geology reflecting the topography, land use. |
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| Keywords: | multivariate statistical GIS groundwater quality soil property geology |
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